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Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models
Paper • 2504.02273 • Published • 7 -
Multi-Reference Preference Optimization for Large Language Models
Paper • 2405.16388 • Published • 1 -
Automatic Prompt Selection for Large Language Models
Paper • 2404.02717 • Published • 1 -
Hear Both Sides: Efficient Multi-Agent Debate via Diversity-Aware Message Retention
Paper • 2603.20640 • Published • 2
Hung Le
neurocoder
AI & ML interests
None yet
Organizations
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Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models
Paper • 2504.02273 • Published • 7 -
Multi-Reference Preference Optimization for Large Language Models
Paper • 2405.16388 • Published • 1 -
Automatic Prompt Selection for Large Language Models
Paper • 2404.02717 • Published • 1 -
Hear Both Sides: Efficient Multi-Agent Debate via Diversity-Aware Message Retention
Paper • 2603.20640 • Published • 2
models 5
neurocoder/Qwen2.5-0.5B-Instruct-MemoryR
Updated • 1
neurocoder/logsQwen2.5-0.5B-Instruct-math-gsm8k
Text Generation • 0.5B • Updated • 3
neurocoder/Qwen2.5-0.5B-Open-R1-Code-GRPO
Updated
neurocoder/Falcon3-1B-Instruct-sft-math-gsm8k
2B • Updated • 3
neurocoder/Llama-3.2-1B-Instruct-sft-math-gsm8k
Text Generation • 1B • Updated • 13 •
datasets 0
None public yet